AEO vs GEO vs SEO: What's the Difference?.

The AEO vs GEO question usually surfaces the moment a marketing leader tries to write a job description, a scope of work, or an RFP and discovers that three different vendors use three different words for what looks like the same service. The short answer: AEO (answer engine optimisation) and GEO (generative engine optimisation) both describe getting a brand cited inside AI-generated answers, and in practice the terms overlap so heavily that most agencies use them interchangeably. SEO is the older, separate discipline both terms grew out of. Which label you use matters less than what you ask a vendor to measure.

That said, the confusion is not manufactured. Industry writers, analysts, and vendors genuinely disagree on where AEO ends and GEO begins, and a marketing leader who has to defend a budget line needs a clearer answer than "they're basically the same thing, don't worry about it."

What does AEO actually mean?

AEO stands for answer engine optimisation: the practice of getting a company named, quoted, or recommended when an AI system generates a direct answer to a question, rather than returning a list of links. The term borrows its shape from "SEO" deliberately, positioning the discipline as SEO's successor for a search experience built around synthesised answers instead of ranked pages. AEO work typically covers on-site structure, schema and entity markup, and the off-site citations, directories, and third-party mentions that answer engines use to corroborate a claim before repeating it.

What does GEO mean, and how is it different from AEO?

GEO stands for generative engine optimisation, and it describes the same underlying goal, being cited inside a generative AI response, but frames the target as the generative model itself rather than the answer surface. GEO emerged slightly earlier in academic and technical writing (a widely cited 2023 paper coined the term for optimising visibility within LLM-generated text), while AEO gained traction faster in marketing and agency circles because it reads more like a natural extension of SEO. In day-to-day practice, a GEO checklist and an AEO checklist cover nearly identical ground: entity clarity, structured data, and third-party corroboration that a model can lift with confidence.

Is AEO vs GEO a meaningful difference or the same practice with two names?

For a B2B marketing team deciding where to spend a quarter's budget, AEO vs GEO is not a meaningful practical difference; it is a labelling difference between communities that arrived at the same problem from different directions. Some practitioners draw a finer line, treating AEO as narrower (Google's AI Overviews, featured answers, voice assistants) and GEO as broader (any generative model, including ChatGPT, Perplexity, Gemini, and Copilot). That distinction shows up more in thought-leadership content than in actual scopes of work. When you read a vendor's methodology and it talks about tracked prompts, citation rate, and entity signals across ChatGPT, Perplexity, Gemini, and Copilot, you are looking at the same measurable practice regardless of which acronym sits on the cover slide.

Where does SEO fit next to AEO and GEO?

SEO fits alongside AEO and GEO as the discipline both newer terms grew out of, and it has not become optional; it has become one input among several. Traditional SEO still governs whether a page ranks in a list of links, still drives a meaningful share of B2B discovery traffic, and still supplies some of the same signals, structured data, authoritative backlinks, that AEO and GEO also depend on. What has changed is that ranking a page no longer guarantees a citation inside an AI-generated answer, because the unit being evaluated shifts from a URL to an entity. Our LLM SEO vs SEO piece covers that entity-versus-URL distinction in more depth if you want the mechanics.

Gartner has projected that traditional search engine query volume could fall by roughly 25 percent by 2026, and BrightEdge data puts the share of searches that now trigger an AI Overview at around 58 percent. Both figures describe the same shift: fewer queries resolve to a clicked link, more resolve to a generated answer, and that answer is what AEO and GEO both compete for.

AEO vs GEO vs SEO: how do the three compare directly?

Which term should you use when hiring an agency or evaluating a platform?

Use whichever term surfaces the vendors your buyers actually search for, then evaluate every candidate against the same question: can they show you a tracked prompt set and a citation rate over time, or are they repackaging an SEO checklist under a new name? Our guide to choosing an AEO agency walks through the specific questions to ask, and they apply just as well to a vendor who pitches itself as a "GEO agency." SourceRank AI uses the AEO label because it is the term B2B marketing and SEO leaders are more likely to type into a search bar today, but the measurement methodology underneath does not change based on which acronym is on the homepage.

Does using the "wrong" term cost you anything in practice?

Using the "wrong" term costs you very little as long as the scope of work behind it is specific and measurable. The real risk sits one level down: a vendor, agency, or internal plan that uses the fashionable acronym, AEO or GEO, without defining a tracked prompt set, a baseline citation rate, or the engines being measured. SourceRank AI audit data shows the average B2B company is cited in fewer than 5% of relevant AI prompts, and that number is only useful as a decision input if whoever is doing the work, regardless of what they call it, can show you where that 5% sits today and how it is expected to move.

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